Evaluating Sustainable Vehicle Technologies for Freight Transportation Using Spherical Fuzzy AHP and TOPSIS

Jaller, Miguel; Otay, İrem

doi:10.1007/978-3-030-51156-2_15

Cited by 17 publications

(9 citation statements)

References 13 publications

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“…Gül (2021) extended the ARAS method into the SFS environment and integrated the extension with the entropy and ordered weighted averaging (OWA)-based objective weighting methodologies. Gul and Ak (2021) used SF-TOPSIS in failure modes and effects analysis of a marble manufacturing company while Buyuk and Temur (2021), Otay and Atik (2021) and Jaller and Otay (2021) utilized the spherical fuzzy analytic hierarchy process (SF-AHP) model in the fields of food waste management alternative ranking, oil station location evaluation via integrating the model with SF-WASPAS and sustainable vehicle technologies selection for freight transportation, respectively. Onar et al.…”

Section: Preliminaries: Spherical Fuzzy Setsmentioning

confidence: 99%

The selection of face mask as a personal protective equipment under the spherical fuzzy environment considering technical and material properties

Gül

Sivri

Aksu

2022

IJCST

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PurposeThe purpose of this paper is to determine which criteria should be taken into account while choosing face masks for pandemic times and to what extent their effects are.Design/methodology/approachNine face mask alternatives were evaluated based on the assessments of their performance with respect to twelve attributes. Seven experts were asked to evaluate the mask alternatives and the influences among attributes. In gathering expert judgments, spherical fuzzy number-based linguistic terms were utilized in the study to provide a more comprehensive representation domain to them.FindingsAccording to the results, the most important attributes are found as material type, cost and bacteria–virus protection level. The best face mask is N95, which is followed by respirators and surgical masks.Research limitations/implicationsThe implication of the research is to evaluate face masks in terms of criteria such as physical, performance, protection and cost to decide on what basis they were selected as a personal protective equipment (PPE) based on expert assessments. This is useful in selection of the right face mask with optimum performance and provides guidance to the general public and profession specific groups for this purpose. The face mask companies might be also benefitted from the implications of the present study in their design and research and development (R&D) operations.Originality/valueThe preference ranking of the face mask alternatives has not been studied in detail yet in the literature. Focusing on this issue, the present study provides a comprehensive assessment of the selection criteria of face masks in the pandemic era.

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Section: Preliminaries: Spherical Fuzzy Setsmentioning

confidence: 99%

The selection of face mask as a personal protective equipment under the spherical fuzzy environment considering technical and material properties

Gül

Sivri

Aksu

2022

IJCST

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“…In addition, Wtróbski et al [14] PROMETHEE II and fuzzy TOPSIS have been used to test electric vans for urban logistics applications. Jaller and Otay [15] used Spherical Fuzzy TOPSIS and AHP to evaluate sustainable vehicle technologies for freight transport. Alkharabsheh et al [16] has invented an integrated MCDM approach to assessing urban public transport networks.…”

Section: Approaches To Selecting Sustainable Automotive Technologiesmentioning

confidence: 99%

“…In the tabular form of gaining more clarity in comprehending the literature of selecting sustainable automobile technology given in Table 1. [7] To analyzed California freight data to create a truck purchasing decision-making model Zhang et al [8] To forecasts choices made by truck fleets using organized surveys by Chinese fleets Bunch et al [9] To looked at the possibility of alternative heavy-duty fuel use in California Kurani et al [10] Decision to purchase an electric vehicle in view of the household's accumulated vehicle stock Jeremy and Richard [11] To proposed a life-cycle model that compares the pollution and cost of AFVs Aydin and Kahraman [12] To assessed public transportation vehicle selection alternatives Wtróbski et al [14] To test electric vans for urban logistics applications Jaller and Otay [15] To evaluate sustainable vehicle technologies for freight transport Alkharabsheh et al [16] To invented an integrated MCDM approach to assessing urban public transport networks Erdem et al [18] To used a web-based survey to assess the willingness of Turkish customers to pay for electric vehicles Maria et al [19] To addressed public expectations and demand for AFVs, as well as offering an overview of various methodological approaches Mabit and Fosgerau [20] To looked at the future of AFVs Zhang et al [22] To investigated the understanding of the demand in electric vehicles and the factors that affect it…”

Section: Approaches To Selecting Sustainable Automotive Technologiesmentioning

confidence: 99%

Innovative q-Rung Orthopair Fuzzy Prioritized Interactive Aggregation Operators to Evaluate Efficient Autonomous Vehicles for Freight Transportation

Farid¹,

Riaz²

2022

Scientia Iranica

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Freight transportation is essential to both the manufacturing industry and daily living. It gives vital supplies for manufacturing and technical activities, as well as supplies for human use. However, the vehicles have a significant environmental effects. It is critical to monitor transportation usage and promote the use of ecologically friendly vehicles, fuels, and technology. This is the most pressing issue confronting all stake holders involved in urban freight transportation. In multi-criteria group decision-making (MCGDM) strategies, the lack of contact between membership degree (MSD) and non-membership degree (NMSD) would be the basic factor for poor results in many MCGDM. To address these drawbacks, we define new aggregation operators (AOs) methods based on generalized membership grades of q-rung orthopair fuzzy (q-ROF) information, in this way, the input evaluation is interpreted in terms of q-rung orthopair fuzzy numbers (q-ROFNs). While interactive operators are well-known for interrelationship between generalized membership grades, prioritized operators are well-suited to exploit prioritized relationships among various criterion. Based on the characteristics of such flexible operators, two novel hybrid aggregation operators are proposed. Several significant features of these AOs are also investigated. The suitability and validity of the suggested operators is discussed for sustainable freight transportation selection. Numerical examples for data analysis is illustrated.

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“…Additionally, Ashraf et al [49] presented several Dombi AOs for SFSs with implementation to group MCDM. Jaller and Otay used [50] when they suggested SF AHP and TOPSIS for assessing efficient vehicle technology for cargo handling. Ali et al [51] and Ashraf et al [52] proposed some AOs for interval-valued picture fuzzy set.…”

Section: Introductionmentioning

confidence: 99%

Spherical Fuzzy Information Aggregation Based on Aczel–Alsina Operations and Data Analysis for Supply Chain

Riaz

Farid

Pamučar

et al. 2022

Mathematical Problems in Engineering

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Spherical fuzzy sets (SFSs) are often made up of membership, nonmembership, and hesitancy grades, and also have the advantage of accurately representing decision makers (DMs) preferences. This article proposes novel spherical fuzzy aggregation operators (AOs) based on Aczel–Alsina (AA) operations, which offer a lot of advantages when tackling real-world situations. We begin by introducing some new SFS operations, such as the Aczel–Alsina product, the Aczel–Alsina sum, the Aczel–Alsina exponent, and the Aczel–Alsina scalar multiplication. We developed many AOs namely, the “spherical fuzzy Aczel–Alsina weighted averaging (SFAAWA) operator,” “spherical fuzzy Aczel–Alsina ordered weighted averaging (SFAAOWA) operator,” “spherical fuzzy Aczel–Alsina hybrid averaging (SFAAHA) operator,” “spherical fuzzy Aczel–Alsina weighted geometric (SFAAWG) operator,” “spherical fuzzy Aczel–Alsina ordered weighted geometric (SFAAOWG) operator,” and “spherical fuzzy Aczel–Alsina hybrid geometric (SFAAHG) operator.” Different attributes of these operators have been defined. The idempotency, boundary, monotonicity, and commutativity of suggested averaging and geometric operators are demonstrated. Then, based on these operators, we propose a novel approach for tackling the “multi-criteria decision-making” (MCDM) problems. We use a agriculture land selection scenario to demonstrate the efficacy of our proposed approach. The outcome confirms the new technique’s applicability and viability. Furthermore, sensitivity analysis and a comparison analysis between the existing approaches and the recommended technique have been provided.

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Evaluating Sustainable Vehicle Technologies for Freight Transportation Using Spherical Fuzzy AHP and TOPSIS

Cited by 17 publications

References 13 publications

The selection of face mask as a personal protective equipment under the spherical fuzzy environment considering technical and material properties

The selection of face mask as a personal protective equipment under the spherical fuzzy environment considering technical and material properties

Innovative q-Rung Orthopair Fuzzy Prioritized Interactive Aggregation Operators to Evaluate Efficient Autonomous Vehicles for Freight Transportation

Spherical Fuzzy Information Aggregation Based on Aczel–Alsina Operations and Data Analysis for Supply Chain

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